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- Tasks: Design and maintain robust data infrastructure while building end-to-end data pipelines.
- Company: Join a global tech consultancy empowering major businesses with advanced data solutions.
- Benefits: Paid certifications, weekly training, and strong mentoring support for your career growth.
- Why this job: Work with cutting-edge data technologies and make a real impact in a dynamic environment.
- Qualifications: Proficiency in Python, Spark, and experience with cloud platforms like Azure or AWS.
- Other info: Enjoy a culture of transparent growth with regular feedback and team socials.
The predicted salary is between 36000 - 60000 £ per year.
numi is proud to partner with a growing global technology consultancy seeking 5 Senior Data Engineers to join their team in London on a hybrid basis. This consultancy empowers some of the world's biggest businesses by delivering advanced data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants.
As the Data Engineer, you will be the core builder responsible for designing, constructing, and maintaining robust and reliable data infrastructure. Your key focus will be on ensuring clean, scalable, and secure data flow. Day-to-day responsibilities include:
- Designing and building end-to-end data pipelines for ingestion, transformation, and loading
- Setting up efficient data lakes and warehouses
- Collaborating closely with analysts, ML engineers, and platform teams
The role demands hands-on experience with cutting-edge data and cloud technologies. You will be utilising and playing with tools across the entire data ecosystem.
Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected.
This includes serious learning support via paid certifications across all major technologies, weekly training, and a strong mentoring program with a dedicated Senior Support Lead. The company fosters a culture of transparent growth with annual 360° feedback reviews, regular team socials, and recognition programs to celebrate outstanding impact.
Apply below - interviews are taking place ASAP.
Mid-Senior Data Engineer in City of London employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid-Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills in real-time! Consider working on a personal project or contributing to open-source. This not only sharpens your abilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python, Spark, and Airflow skills. Practising coding challenges can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Mid-Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Mid-Senior Data Engineer. Highlight your experience with Python, Spark, and Airflow, and don’t forget to mention any work you've done with data platforms like Snowflake or BigQuery.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your skills align with the consultancy's mission. Be sure to mention your hands-on experience with cloud technologies.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. Whether it's building data pipelines or setting up data lakes, real-world examples can really make you stand out!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you one step closer to joining our awesome team!
How to prepare for a job interview at numi
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Python, Spark, and Airflow. Be ready to discuss how you've used these technologies in past projects, as well as any experience with data platforms like Snowflake or Databricks. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would design a data pipeline or set up a data lake. Practising common data engineering scenarios will help you demonstrate your hands-on experience and problem-solving abilities.
✨Emphasise Collaboration
This role involves working closely with analysts and ML engineers, so be ready to talk about your teamwork experiences. Share examples of how you've collaborated on projects, resolved conflicts, or contributed to a team’s success. Highlighting your communication skills will show you're a great fit for their culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to continuous learning and the mentoring programme. This shows your interest in growth and aligns with their commitment to supporting talented technologists.
